Thomas Bäck
Orcid: 0000-0001-6768-1478Affiliations:
- Leiden Institute of Advanced Computer Science, Netherlands
According to our database1,
Thomas Bäck
authored at least 383 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Hyperparameter importance and optimization of quantum neural networks across small datasets.
Mach. Learn., April, 2024
CoRR, 2024
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems.
CoRR, 2024
CoRR, 2024
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification.
CoRR, 2024
2023
Artif. Intell. Rev., September, 2023
J. Ind. Inf. Integr., August, 2023
Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand.
Decis. Sci., August, 2023
Nat. Comput., June, 2023
Artif. Intell. Rev., June, 2023
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection.
Comput. Ind., April, 2023
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier].
IEEE Comput. Intell. Mag., February, 2023
Evol. Comput., 2023
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems.
CoRR, 2023
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms.
CoRR, 2023
Autom., 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023
Proceedings of the Formal Methods - 25th International Symposium, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts.
Proceedings of the International Conference on Automated Machine Learning, 2023
2022
Dataset, November, 2022
J. Aerosp. Inf. Syst., June, 2022
Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace".
Dataset, April, 2022
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2022
Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset.
Dataset, January, 2022
Security and Artificial Intelligence, 2022
ACM Trans. Evol. Learn. Optim., 2022
IEEE Trans. Evol. Comput., 2022
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.
IEEE Trans. Evol. Comput., 2022
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software.
IEEE Trans. Evol. Comput., 2022
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations.
Memetic Comput., 2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.
CoRR, 2022
Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes.
CoRR, 2022
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications.
CoRR, 2022
CoRR, 2022
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace.
CoRR, 2022
A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction.
IEEE Access, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data.
Proceedings of the 14th International Conference on Computer and Automation Engineering, 2022
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Multi-point acquisition function for constraint parallel efficient multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Learning the characteristics of engineering optimization problems with applications in automotive crash.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
Data sets for the study "Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.".
Dataset, May, 2021
Data Sets for the study "Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection".
Dataset, February, 2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2021
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient.
IEEE Trans. Evol. Comput., 2021
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.
Swarm Evol. Comput., 2021
CoRR, 2021
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
CoRR, 2021
CoRR, 2021
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
CoRR, 2021
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
CoRR, 2021
Temporal convolutional autoencoder for unsupervised anomaly detection in time series.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021
Proceedings of the Computational Logistics - 12th International Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A new acquisition function for robust Bayesian optimization of unconstrained problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Explorative data analysis of time series based algorithm features of CMA-ES variants.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Expressivity of parameterized and data-driven representations in quality diversity search.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021
SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the 12th International Conference on Ambient Systems, 2021
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.
Proceedings of the International Conference on 3D Vision, 2021
2020
Dataset, May, 2020
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution".
Dataset, May, 2020
Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".
Dataset, April, 2020
Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".
Dataset, April, 2020
The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability".
Dataset, April, 2020
Dataset, February, 2020
Dataset, February, 2020
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.
CoRR, 2020
CoRR, 2020
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.
CoRR, 2020
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.
CoRR, 2020
Appl. Soft Comput., 2020
Appl. Intell., 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Norm Loss: An efficient yet effective regularization method for deep neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Eleventh International Conference on Computational Creativity, 2020
Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.
Swarm Evol. Comput., 2019
Efficient computation of expected hypervolume improvement using box decomposition algorithms.
J. Glob. Optim., 2019
Evol. Comput., 2019
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.
CoRR, 2019
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning.
CoRR, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 19th Conference Information Technologies, 2019
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
CoRR, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Ranking empirical cumulative distribution functions using stochastic and pareto dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the European Conference on Modelling and Simulation, 2018
First Results Solving Arbitrarily Structured Maximum Independent Set Problems Using Quantum Annealing.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets.
Appl. Soft Comput., 2017
A new acquisition function for Bayesian optimization based on the moment-generating function.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning.
Proceedings of the Quantum Technology and Optimization Problems, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017
Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 2016
Multi-objective inventory routing with uncertain demand using population-based metaheuristics.
Integr. Comput. Aided Eng., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
Preference-based multiobjective optimization using truncated expected hypervolume improvement.
Proceedings of the 12th International Conference on Natural Computation, 2016
Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evol. Comput., 2015
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control.
CoRR, 2015
Appl. Soft Comput., 2015
Comparing a Weiszfeld's-Based Procedure and (1+1)-es for Solving the Planar Single-Facility Location-Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the EVOLVE, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
CoRR, 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Natural Computing Series, Springer, ISBN: 978-3-642-40136-7, 2013
CoRR, 2013
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Academic education of software engineering practices: towards planning and improving capstone courses based upon intensive coaching and team routines.
Proceedings of the 26th International Conference on Software Engineering Education and Training, 2013
2012
Proceedings of the Third International Workshop on Managing Technical Debt, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolutionary strategies for identification and validation of material model parameters for forming simulations.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Evol. Comput., 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Niching with derandomized evolution strategies in artificial and real-world landscapes.
Nat. Comput., 2009
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009
On the limitations of adaptive resampling in using the student's t-test evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009
Proceedings of the Algorithmic Bioprocesses, 2009
2008
IEEE Comput. Intell. Mag., 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008
Performance analysis of derandomized evolution strategies in quantum control experiments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Evolutionary algorithms for automated drug design towards target molecule properties.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning.
Proceedings of the Applications of Evolutionary Computing, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
On the scalability of evolution strategies in the optimization of dynamic molecular alignment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
The second harmonic generation case-study as a gateway for es to quantum control problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Evolutionary Computation, 2007
Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis.
Proceedings of the Applications of Evolutinary Computing, 2007
The application of evolutionary multi-criteria optimization to dynamic molecular alignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the Artificial Evolution, 2007
2006
Mining a Chemical Database for Fragment Co-occurrence: Discovery of "Chemical Clichés".
J. Chem. Inf. Model., 2006
The Molecule Evoluator. An Interactive Evolutionary Algorithm for the Design of Drug-Like Molecules.
J. Chem. Inf. Model., 2006
J. Chem. Inf. Model., 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
The complete-basis-functions parameterization in ES and its application to laser pulse shaping.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis.
Proceedings of the Applications of Evolutionary Computing, 2006
Proceedings of the Applications of Evolutionary Computing, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Proceedings of the Unconventional Computation, 4th International Conference, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the Artificial Evolution, 2005
2004
Industrial Optimization by Evolution Strategies: A Bioinspired Optimization Algorithm.
Informatica (Slovenia), 2004
Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems.
J. Heuristics, 2004
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm.
Proceedings of the Unconventional Programming Paradigms, 2004
Proceedings of the Cellular Automata, 2004
2003
IEEE Trans. Evol. Comput., 2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Adaptive business intelligence based on evolution strategies: some application examples of self-adaptive software.
Inf. Sci., 2002
Evolutionary Computation: A Guided Tour.
Bull. EATCS, 2002
Proceedings of the Parallel Problem Solving from Nature, 2002
Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction.
Proceedings of the Parallel Problem Solving from Nature, 2002
Proceedings of the Parallel Problem Solving from Nature, 2002
Effects of Tax and Evolution in an Artificial Society.
Proceedings of the 6th Joint Conference on Information Science, 2002
Multi Objective Airfoil Design Using Single Parent Populations.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
Theory of Genetic Algorithms.
Proceedings of the Current Trends in Theoretical Computer Science, 2001
2000
Proceedings of the Parallel Problem Solving from Nature, 2000
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
Improved Evolutionary Algorithms for Scheduling Problems.
Proceedings of the German-Argentinian Workshop on Information Technology, 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
IEEE Trans. Evol. Comput., 1998
An Overview of Parameter Control Methods by Self-Adaption in Evolutionary Algorithms.
Fundam. Informaticae, 1998
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998
1997
IEEE Trans. Evol. Comput., 1997
Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies.
Evol. Comput., 1997
Complex., 1997
1996
Refueling of a Nuclear Power Plant: Comparison of a Naive and a Specialized Mutation Operator.
Proceedings of the Parallel Problem Solving from Nature, 1996
Proceedings of the Parallel Problem Solving from Nature, 1996
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996
Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms.
Oxford University Press, ISBN: 978-0-19-509971-3, 1996
1995
Generalized Convergence Models for Tournament- and (mu, lambda)-Selection.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995
Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995
A Comparative Study of a Penalty Function, a Repair Heuristic and Stochastic Operators with the Set-Covering Problem.
Proceedings of the Artificial Evolution, European Conference, 1995
Proceedings of the Artificial Evolution, European Conference, 1995
1994
Book Review: Proceedings of the Fifth International Conference on Genetic Algorithms.
Evol. Comput., 1994
Proceedings of the 1994 ACM Symposium on Applied Computing, 1994
Proceedings of the Parallel Problem Solving from Nature, 1994
Proceedings of the Parallel Problem Solving from Nature, 1994
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994
Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994
Order Statistics for Convergence Velocity Analysis of Simplified Evolutionary Algorithms.
Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994
Proceedings of the ACM 22rd Annual Computer Science Conference on Scaling up: Meeting the Challenge of Complexity in Real-World Computing Applications, 1994
1993
Evol. Comput., 1993
Optimal Mutation Rates in Genetic Search.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993
Proceedings of the Machine Learning: ECML-93, 1993
1992
Künstliche Evolution - eine intelligente Problemlösungsstrategie?
Künstliche Intell., 1992
The Interaction of Mutation Rate, Selection, and Self-Adaptation Within a Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature 2, 1992
1991
A Survey of Evolution Strategies.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991
Extended Selection Mechanisms in Genetic Algorithms.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991
1990
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990